Survival of early-stage HGSOC by race

## 
##  Pairwise comparisons using Log-Rank test 
## 
## data:  HGS.ES and Race 
## 
##          White   Black   Hispanic API    
## Black    0.00099 -       -        -      
## Hispanic 0.88561 0.03049 -        -      
## API      0.88561 0.08697 0.88561  -      
## Native   0.88561 0.51590 0.88561  0.88561
## 
## P value adjustment method: BH
Race Count
White 795
Black 60
Hispanic 111
API 76
Native 7

Comparing Black Race to All Other Races Combined

Black Race Count
no 992
yes 60

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Black.Race, data = HGS.ES)
## 
##   n= 1052, number of events= 177 
## 
##                 coef exp(coef) se(coef)     z Pr(>|z|)    
## Black.Raceyes 0.9013    2.4628   0.2377 3.792  0.00015 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
##               exp(coef) exp(-coef) lower .95 upper .95
## Black.Raceyes     2.463      0.406     1.546     3.924
## 
## Concordance= 0.527  (se = 0.011 )
## Likelihood ratio test= 11.44  on 1 df,   p=7e-04
## Wald test            = 14.38  on 1 df,   p=1e-04
## Score (logrank) test = 15.38  on 1 df,   p=9e-05

Comparing Black Race to White Race

Race Count
White 795
Black 60

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Race, data = HGS.WB)
## 
##   n= 855, number of events= 147 
## 
##             coef exp(coef) se(coef)    z Pr(>|z|)    
## RaceBlack 0.9082    2.4798   0.2409 3.77 0.000164 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
##           exp(coef) exp(-coef) lower .95 upper .95
## RaceBlack      2.48     0.4033     1.546     3.977
## 
## Concordance= 0.533  (se = 0.013 )
## Likelihood ratio test= 11.41  on 1 df,   p=7e-04
## Wald test            = 14.21  on 1 df,   p=2e-04
## Score (logrank) test = 15.21  on 1 df,   p=1e-04

Comparing Black Race to Hispanic Race

Race Count
Hispanic 111
Black 60

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Race, data = HGS.HB)
## 
##   n= 171, number of events= 37 
## 
##             coef exp(coef) se(coef)    z Pr(>|z|)   
## RaceBlack 0.8791    2.4088   0.3304 2.66  0.00781 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
##           exp(coef) exp(-coef) lower .95 upper .95
## RaceBlack     2.409     0.4152      1.26     4.603
## 
## Concordance= 0.596  (se = 0.044 )
## Likelihood ratio test= 7.02  on 1 df,   p=0.008
## Wald test            = 7.08  on 1 df,   p=0.008
## Score (logrank) test = 7.54  on 1 df,   p=0.006

Does the addition of chemotherapy in patients with unknown nodal status improve outcomes in different races?

Black Race

Positive Nodes Count
No 28
Unk 14

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Nodes_Pos, data = HGS.ES.Black.Chemo)
## 
##   n= 42, number of events= 13 
## 
##               coef exp(coef) se(coef)     z Pr(>|z|)   
## Nodes_PosUnk 2.218     9.188    0.701 3.164  0.00156 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
##              exp(coef) exp(-coef) lower .95 upper .95
## Nodes_PosUnk     9.187     0.1088     2.326      36.3
## 
## Concordance= 0.706  (se = 0.07 )
## Likelihood ratio test= 11.7  on 1 df,   p=6e-04
## Wald test            = 10.01  on 1 df,   p=0.002
## Score (logrank) test = 13.98  on 1 df,   p=2e-04

White Race

Positive Nodes Count
No 454
Unk 126

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Nodes_Pos, data = HGS.ES.White.Chemo)
## 
##   n= 580, number of events= 82 
## 
##                coef exp(coef) se(coef)     z Pr(>|z|)    
## Nodes_PosUnk 1.1643    3.2036   0.2237 5.206 1.93e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
##              exp(coef) exp(-coef) lower .95 upper .95
## Nodes_PosUnk     3.204     0.3122     2.067     4.966
## 
## Concordance= 0.637  (se = 0.028 )
## Likelihood ratio test= 24.43  on 1 df,   p=8e-07
## Wald test            = 27.1  on 1 df,   p=2e-07
## Score (logrank) test = 30.28  on 1 df,   p=4e-08

Hispanic Race

Positive Nodes Count
No 63
Unk 18

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Nodes_Pos, data = HGS.ES.Hisp.Chemo)
## 
##   n= 81, number of events= 12 
## 
##                coef exp(coef) se(coef)     z Pr(>|z|)  
## Nodes_PosUnk 1.3209    3.7468   0.5787 2.282   0.0225 *
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
##              exp(coef) exp(-coef) lower .95 upper .95
## Nodes_PosUnk     3.747     0.2669     1.205     11.65
## 
## Concordance= 0.67  (se = 0.074 )
## Likelihood ratio test= 4.87  on 1 df,   p=0.03
## Wald test            = 5.21  on 1 df,   p=0.02
## Score (logrank) test = 6  on 1 df,   p=0.01

Does use of chemotherapy matter by stage for each race?

Black Race

Chemotherapy received Count
No/Unknown 15
Yes 28

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Chemo, data = HGS.Black.N0)
## 
##   n= 43, number of events= 9 
## 
##             coef exp(coef) se(coef)      z Pr(>|z|)
## ChemoYes -0.3277    0.7206   0.6726 -0.487    0.626
## 
##          exp(coef) exp(-coef) lower .95 upper .95
## ChemoYes    0.7206      1.388    0.1928     2.693
## 
## Concordance= 0.558  (se = 0.089 )
## Likelihood ratio test= 0.23  on 1 df,   p=0.6
## Wald test            = 0.24  on 1 df,   p=0.6
## Score (logrank) test = 0.24  on 1 df,   p=0.6
Chemotherapy received Count
No/Unknown 3
Yes 14

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Chemo, data = HGS.Black.Nx)
## 
##   n= 17, number of events= 11 
## 
##             coef exp(coef) se(coef)      z Pr(>|z|)
## ChemoYes -0.6283    0.5335   0.7016 -0.896     0.37
## 
##          exp(coef) exp(-coef) lower .95 upper .95
## ChemoYes    0.5335      1.874    0.1349      2.11
## 
## Concordance= 0.595  (se = 0.095 )
## Likelihood ratio test= 0.73  on 1 df,   p=0.4
## Wald test            = 0.8  on 1 df,   p=0.4
## Score (logrank) test = 0.83  on 1 df,   p=0.4

White Race

Chemotherapy received Count
No/Unknown 144
Yes 454

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Chemo, data = HGS.White.N0)
## 
##   n= 598, number of events= 71 
## 
##             coef exp(coef) se(coef)      z Pr(>|z|)
## ChemoYes -0.3828    0.6820   0.2521 -1.519    0.129
## 
##          exp(coef) exp(-coef) lower .95 upper .95
## ChemoYes     0.682      1.466    0.4161     1.118
## 
## Concordance= 0.538  (se = 0.029 )
## Likelihood ratio test= 2.2  on 1 df,   p=0.1
## Wald test            = 2.31  on 1 df,   p=0.1
## Score (logrank) test = 2.33  on 1 df,   p=0.1
Chemotherapy received Count
No/Unknown 71
Yes 126

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Chemo, data = HGS.White.Nx)
## 
##   n= 197, number of events= 56 
## 
##              coef exp(coef) se(coef)    z Pr(>|z|)
## ChemoYes -0.05535   0.94615  0.27660 -0.2    0.841
## 
##          exp(coef) exp(-coef) lower .95 upper .95
## ChemoYes    0.9461      1.057    0.5502     1.627
## 
## Concordance= 0.516  (se = 0.035 )
## Likelihood ratio test= 0.04  on 1 df,   p=0.8
## Wald test            = 0.04  on 1 df,   p=0.8
## Score (logrank) test = 0.04  on 1 df,   p=0.8

Hispanic

Chemotherapy received Count
No/Unknown 20
Yes 63

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Chemo, data = HGS.Hisp.N0)
## 
##   n= 83, number of events= 8 
## 
##             coef exp(coef) se(coef)    z Pr(>|z|)
## ChemoYes 0.04951   1.05076  0.81854 0.06    0.952
## 
##          exp(coef) exp(-coef) lower .95 upper .95
## ChemoYes     1.051     0.9517    0.2112     5.227
## 
## Concordance= 0.516  (se = 0.072 )
## Likelihood ratio test= 0  on 1 df,   p=1
## Wald test            = 0  on 1 df,   p=1
## Score (logrank) test = 0  on 1 df,   p=1
Chemotherapy received Count
No/Unknown 10
Yes 18

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Chemo, data = HGS.Hisp.Nx)
## 
##   n= 28, number of events= 9 
## 
##            coef exp(coef) se(coef)     z Pr(>|z|)
## ChemoYes 0.3245    1.3834   0.7123 0.456    0.649
## 
##          exp(coef) exp(-coef) lower .95 upper .95
## ChemoYes     1.383     0.7229    0.3425     5.587
## 
## Concordance= 0.607  (se = 0.057 )
## Likelihood ratio test= 0.21  on 1 df,   p=0.6
## Wald test            = 0.21  on 1 df,   p=0.6
## Score (logrank) test = 0.21  on 1 df,   p=0.6

Overall CoxPH and Forest plot

## 
##  Pairwise comparisons using Log-Rank test 
## 
## data:  HGS.ES and Race.Group 
## 
##          White  Hispanic Black 
## Hispanic 0.9608 -        -     
## Black    0.0006 0.0183   -     
## Other    0.9608 0.9608   0.0273
## 
## P value adjustment method: BH
Race Count
White 795
Hispanic 111
Black 60
Other 86

## Call:
## coxph(formula = Surv(SurvMonths, COD) ~ Age + Stage + Laterality + 
##     Chemotherapy + Race + Lymphadenectomy, data = HGS.ES)
## 
##   n= 1052, number of events= 177 
## 
##                               coef exp(coef) se(coef)      z Pr(>|z|)    
## Age18-29                        NA        NA  0.00000     NA       NA    
## Age30-39                   0.08918   1.09328  0.60561  0.147 0.882930    
## Age40-49                  -0.19998   0.81875  0.30870 -0.648 0.517110    
## Age50-59                   0.27356   1.31464  0.22660  1.207 0.227331    
## Age70-79                   0.74815   2.11308  0.23762  3.149 0.001641 ** 
## Age80+                     1.36213   3.90449  0.26696  5.102 3.35e-07 ***
## StageT1NxM0                0.99923   2.71619  0.17946  5.568 2.58e-08 ***
## LateralityLeft            -0.20815   0.81209  0.19148 -1.087 0.277006    
## LateralityRight           -0.22285   0.80023  0.19534 -1.141 0.253931    
## LateralityUnknown          0.02839   1.02880  0.52898  0.054 0.957198    
## ChemotherapyYes            0.01677   1.01691  0.16413  0.102 0.918621    
## RaceHispanic               0.14746   1.15889  0.26396  0.559 0.576401    
## RaceBlack                  0.89159   2.43901  0.24682  3.612 0.000304 ***
## RaceOther                  0.20776   1.23091  0.29860  0.696 0.486573    
## LymphadenectomyInadequate  0.17427   1.19038  0.20846  0.836 0.403158    
## LymphadenectomyNone             NA        NA  0.00000     NA       NA    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
##                           exp(coef) exp(-coef) lower .95 upper .95
## Age18-29                         NA         NA        NA        NA
## Age30-39                     1.0933     0.9147    0.3336     3.583
## Age40-49                     0.8187     1.2214    0.4471     1.499
## Age50-59                     1.3146     0.7607    0.8432     2.050
## Age70-79                     2.1131     0.4732    1.3263     3.366
## Age80+                       3.9045     0.2561    2.3138     6.589
## StageT1NxM0                  2.7162     0.3682    1.9108     3.861
## LateralityLeft               0.8121     1.2314    0.5580     1.182
## LateralityRight              0.8002     1.2496    0.5457     1.174
## LateralityUnknown            1.0288     0.9720    0.3648     2.901
## ChemotherapyYes              1.0169     0.9834    0.7372     1.403
## RaceHispanic                 1.1589     0.8629    0.6908     1.944
## RaceBlack                    2.4390     0.4100    1.5035     3.956
## RaceOther                    1.2309     0.8124    0.6856     2.210
## LymphadenectomyInadequate    1.1904     0.8401    0.7911     1.791
## LymphadenectomyNone              NA         NA        NA        NA
## 
## Concordance= 0.721  (se = 0.02 )
## Likelihood ratio test= 98.62  on 14 df,   p=9e-15
## Wald test            = 109.4  on 14 df,   p=<2e-16
## Score (logrank) test = 124.1  on 14 df,   p=<2e-16
##                  chisq df    p
## Age              6.666  5 0.25
## Stage            3.826  1 0.05
## Laterality       3.235  3 0.36
## Chemotherapy     0.018  1 0.89
## Race             3.057  3 0.38
## Lymphadenectomy  0.894  1 0.34
## GLOBAL          19.295 14 0.15
## Warning: Removed 40 row(s) containing missing values (geom_path).
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